Iterative Rule Extension for Logic Analysis of Data: An MILP-Based Heuristic to Derive Interpretable Binary Classifiers from Large Data Sets
Published Online:12 Jan 2024https://doi.org/10.1287/ijoc.2021.0284
- Cited by
- Zhuang Liu; ,
- Shiyao Qian; ,
- Shuirong Cao,
- Tianyu Shi;
21 May 2025 | INFORMS Journal on Computing, Vol. 0, No. 0
Volume 36, Issue 3
May-June 2024
Pages 705-937, C2
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- Received:October 13, 2021
- Accepted:October 23, 2023
- Published Online:January 12, 2024
Copyright © 2024 The Author(s)
Cite as
Marleen Balvert (2024) Iterative Rule Extension for Logic Analysis of Data: An MILP-Based Heuristic to Derive Interpretable Binary Classifiers from Large Data Sets. INFORMS Journal on Computing 36(3):723-741.
https://doi.org/10.1287/ijoc.2021.0284
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